Summary
This website contacted 11 IPs in 2 countries across 7 domains to perform 48 HTTP transactions. The main domain is uintahfiredistrict.gov and was registered NaN years ago.
Submitted URL: https://uintahfiredistrict.gov/
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Uintah Fire District | Uintah Fire District
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'uintahfiredistrict.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'uintahfiredistrict' is 18 characters long holding seven vowels versus 11 consonants. Segmentation suggests four words: uinta, h, fire, district. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 25 | 208.109.65.143 | United States | AS398101GO-DADDY-COM-LLC |
| 4 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 2a00:1450:4001:810::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:82b::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.186.74 | United States | AS15169GOOGLE |
| 2 | 162.159.140.229 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.181.227 | United States | AS15169GOOGLE |
| 48 | 11 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data